Snowflake SnowPro® Specialty: Gen AI Certification : GES-C01

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我々のGES-C01試験勉強資料を購入するお客様の個人情報を内緒すると約束します。我々の目的は受験者を試験に順調に合格することです。TopexamのSnowPro® Specialty: Gen AI Certification Exam試験練習問題を安心に利用します。

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三つのバージョン

我々会社のSnowPro® Specialty: Gen AI Certification Exam試験勉強資料は3種類のバージョンがあります。第一種はPDF版で、印刷できて紙質の形式で勉強し、メモをできます。第二種はSnowPro® Specialty: Gen AI Certification Examソフト版で、第一時間に真実の試験解答環境と流れを体験させます。第三種はオンライン版で、スマートとIPADなどの電子設備の上に使用されます。便利に持ちなので、どこでもいつでも学習できます。

私たちのSnowPro® Specialty: Gen AI Certification Exam試験勉強資料の学習ガイドは受験生に適用され、SnowPro® Specialty: Gen AI Certification Exam認定試験に合格するのを助けます。もし我々のSnowPro® Specialty: Gen AI Certification Exam試験勉強資料を購入すれば、ただほぼ20時間ぐらいがかかるで、試験関連知識ポイントを把握して試験に参加できます。我々のSnowPro® Specialty: Gen AI Certification Exam試験勉強資料はお客様のあまり多い時間を費やすことが必要なくて、お客様は余裕の時間で自分の他のやりたいことにします。

我々のSnowPro® Specialty: Gen AI Certification Exam試験練習問題は認定知識を良く知られる専門家たちによって整理する学習資料です。過去の試験内容によって、すべてのエラーの問題が修正します。我々の勉強資料の正確性なので、20～30時間の学習で相応の効果を発揮して効率的に試験に通過します。

Snowflake GES-C01 試験シラバストピック:

Snowflake SnowPro® Specialty: Gen AI Certification 認定 GES-C01 試験問題：

1. An organization has implemented a strict governance policy where the 'ACCOUNTADMIN' has set the 'CORTEX MODELS ALLOWLIST' to only permit 'gemma-7b' and 'llama3.1-8b' models. A developer then executes the following SQL statements in a Snowflake worksheet using 'TRY COMPLETE (SNOWFLAKE.CORTEX)". Assuming no specific RBAC model object grants are in place for the developer's role, what would be the outcome of these queries? SELECT

A) The first query will return a completion, the second will return 'NULL' , and the third will return a completion.
B) All three queries will return because 'TRY COMPLETE' will always prioritize strict adherence to the allowlist and any model not explicitly listed is considered unavailable.
C) The first and third queries will return completions, but the second query will raise an error indicating an unauthorized model attempt.
D) The first and second queries will return completions, while the third will return 'NULL' due to potential resource constraints for larger models.
E) Only the first query will return a completion, as 'gemma-7W is the smallest and most readily available model, while the others will return 'NULL'.

2. An ML engineer is developing a RAG application in Python and wants to use the TruLens SDK to trace the distinct phases of its execution, specifically the context retrieval and answer generation steps. They aim to clearly differentiate the tracing of the function responsible for retrieving context.

A)

B)

C)

D)

E)

3. A data engineering team is setting up an automated pipeline in Snowflake to process call center transcripts. These transcripts, once loaded into a raw table, need to be enriched by extracting specific entities like the customer's name, the primary issue reported, and the proposed resolution. The extracted data must be stored in a structured JSON format in a processed table. The pipeline leverages a SQL task that processes new records from a stream. Which of the following SQL snippets and approaches, utilizing Snowflake Cortex LLM functions, would most effectively extract this information and guarantee a structured JSON output for each transcript?

A) Option E
B) Option A
C) Option C
D) Option D
E) Option B

4. A global enterprise has Snowflake accounts in various regions, including a US East (Ohio) account where a critical application is deployed. They need to use AI_COMPLETE with the claude-3-5-sonnet model for real-time customer support, but this model is not natively available in US East (Ohio) for direct AI_COMPLETE usage. The Snowflake administrator considers enabling cross-region inference. Which statements accurately reflect the considerations and characteristics of cross-region inference in Snowflake Cortex?

A) Setting the CORTEX_ENABLED_CROSS_REGION account parameter to 'ANY_REGION' in the US East (Ohio) account would enable inference requests for claude-3-5- sonnet to be processed in any region where it is natively available.
B) Latency between regions for cross-region inference is negligible and consistently low, irrespective of cloud provider infrastructure.
C) The CORTEX_ENABLED_CROSS_REGION parameter can be configured at the session level to temporarily enable cross-region inference for specific workloads.
D) Cross-region inference automatically caches user inputs and generated outputs to reduce latency for subsequent requests to the same model.
E) Cross-region inference is not supported in U.S. SnowGov regions for either inbound or outbound inference requests.

5. A legal department uses Snowflake to manage and review large volumes of contracts. They need to automate the process of finding specific pieces of information, such as the effective_date or involved_parties, from these unstructured contract texts. They are considering using SNOWFLAKE. CORTEX. EXTRACT_ANSWER. Which characteristic correctly describes the primary intent or behavior of SNOWFLAKE. CORTEX. EXTRACT_ANSWER, distinguishing it from other LLM functions?

A) It focuses on identifying and returning a direct answer to a specific question contained within the provided source document.
B) It evaluates a text and returns a numeric score indicating the overall positive or negative sentiment.
C) It classifies an input text into one of several predefined categories provided by the user.
D) It is primarily designed to generate entirely new text based on a given prompt, much like a conversational AI.
E) It transforms an input document into a summarized version, reducing its length while preserving key information.

質問と回答：